Bibliographic record
Abstract
This introduction provides, first, an elaboration on the handbook’s premise, which seeks to trouble notions of authority and expertise by celebrating the diversity of stakeholders and opinions that narrate the landscape of technology and music education. Second, this introduction provides brief summaries of the contributions that make up the four main parts of the handbook. Twenty-two Core Perspective authors consist of ten females and twelve males across six continents that include the countries Australia, Canada, China, Mexico, Singapore, Uganda, United Kingdom, and the United States. Selected authors include school and community music practitioners, industry members, higher education researchers, and music teacher educators, embracing theoretical frames that include philosophy, history, sound studies, ethnomusicology, social and cultural psychology, and critical theory. To further reinforce the perspectival nature of the handbook, another nineteen authors provide Further Perspectives to various subparts in the volume. We encourage you, the reader, to continue the dialogue begun in this handbook through adding your personal perspectives online via our companion website (http://global.oup.com/us/ohtme).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.309 | 0.240 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".